Triple
T3276816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatyana |
E68776
|
entity |
| Predicate | hasTransliteration |
P2508
|
FINISHED |
| Object | Татьяна |
E68776
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Татьяна | Statement: [Tatyana, hasTransliteration, Татьяна]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Татьяна Context triple: [Tatyana, hasTransliteration, Татьяна]
-
A.
Tatyana
chosen
Tatyana is a feminine given name of Slavic origin, particularly common in Russian-speaking countries.
-
B.
Nadezhda Vasilyeva
Nadezhda Vasilyeva is known primarily as a daughter of Vasily Stalin, the son of Soviet leader Joseph Stalin.
-
C.
Tatiana Nikolaevna
Tatiana Nikolaevna was the second daughter of Tsar Nicholas II of Russia and a Grand Duchess, remembered as one of the last members of the Romanov imperial family before their execution in 1918.
-
D.
Svetlana
Svetlana is a feminine given name of Slavic origin, most notably borne by Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin.
-
E.
Lyudmila
Lyudmila is a Russian linguist and the former First Lady of Russia, known for being the ex-wife of President Vladimir Putin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324fec6d88190a8ecb6f9a3429b2e |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:10 p.m.